Senior Data Scientist

Amplify Health; Gurugram District; On-site; INR 2,800,000 - 5,200,000; Full time

Job summary

Amplify Health is seeking a Senior Data Scientist to lead development of NLP, ML and Generative AI solutions for healthcare AI products. You will drive production-grade LLM applications using RAG, knowledge graphs and multilingual NLP across Asian markets.

You will collaborate with product, engineering and business teams, mentoring data scientists and shaping AI strategy across the organization while ensuring scalable and secure deployments.

Qualifications

• 8-10 years of experience in Data Science, ML and Analytics.
• Minimum 4 years delivering NLP and Generative AI solutions.
• Proven leadership of enterprise AI programs.

Responsibilities

• Design and deploy NLP, ML and Generative AI solutions for enterprise-scale products.
• Lead development of production-grade LLM apps leveraging RAG, knowledge graphs and healthcare data assets.
• Mentor data scientists and influence AI strategy across the organization.

Skills

Python

SQL

PyTorch

TensorFlow

Scikit-learn

Hugging Face

Transformers

Embeddings

Fine-tuning

RAG

Vector databases

MLOps

LLMOps

Leadership

Education

Bachelor’s or Master’s in Computer Science / AI / Data Science / Statistics

Tools

Azure OpenAI

Azure AI Foundry

Azure AI Search

Databricks

LangChain

Kubernetes

Docker

Job description

Amplify Health Asia Pte. Limited (Amplify Health) is a pan-Asian health technology and analytics company which brings together health technology assets, proprietary data analytics and healthcare expertise to support innovation across the healthcare value chain.

Headquartered in Singapore, Amplify Health operates in 10 markets across the region: Australia, Hong Kong, India, Indonesia, Malaysia, New Zealand, the Philippines, Singapore, Thailand and Vietnam.

Amplify Health develops integrated solutions that empower healthcare payors, providers and policymakers across Asia to identify value and drive new partnerships, understand variation and address systemic inefficiencies—with the aim of improving outcomes for individuals and the sustainability of health systems.

Powered by a clinically enriched data foundation, Amplify Health’s health intelligence platform combines modular AI solutions, context-aware automation and deep regional insights to offer localised, AI-powered health solutions spanning health payment integrity to chronic disease management. The company’s technology has earned recognition at several industry competitions, including the Celent Model Insurer Awards, ITC Asia Awards and SBR Technology Excellence Awards.

As an ISO27001 certified organisation, Amplify Health maintains clearly defined policies, structured oversight mechanisms and ongoing risk assessments that ensure alignment with global best practices on enterprise data security

Our Vision and Ambition

To build the leading healthcare AI and platform services company in Asia that transforms the delivery of health and wellness for patients and communities by combining and leveraging the distinctive and complementary assets and strengths of AIA and Discovery.

Amplify Health will simplify access to health data and AI Innovation to accelerate distinct and disruptive healthcare value insights and resulting improvements in health outcomes through value-based care, personalised care plans and aligning individuals’ lifestyle/ behavioural choices.

By 2028, Amplify Health will have in place one of Asia’s strongest health-tech and AI capabilities; a comprehensive, integrated health technology stack supported by precision insights derived from proprietary data pools.

The Position

Summary

The Senior Data Scientist will lead the development and deployment of advanced NLP, Machine Learning and Generative AI solutions. The role combines hands-on data science expertise with technical leadership to build enterprise-grade AI products leveraging LLMs, RAG architectures, knowledge graphs and healthcare data assets.

The successful candidate will work closely with product, engineering, business, and data teams to deliver scalable, secure, and high-impact AI solutions.

Responsibilities

• Design and deploy solutions for document intelligence, entity extraction, summarization, semantic search, classification and conversational AI.
• Develop production-grade LLM applications using GPT, Gemini, Claude and open-source models.
• Build multilingual NLP capabilities across Asian markets.

2) Generative AI & Agentic Systems

• Implement RAG architectures using Azure AI Search and vector databases.
• Build AI agents, copilots and workflow automation solutions.
• Establish evaluation frameworks, guardrails and prompt engineering standards.

3) Advanced Data Science

• Lead predictive modeling, deep learning and experimentation initiatives.
• Translate business problems into measurable AI outcomes.
• Mentor data scientists and influence AI strategy across the organization.
• Partner with business, engineering and product leaders.

Candidate Profile

Experience and Qualifications

• 8-10 years of experience in Data Science, Machine Learning and Analytics.
• Minimum 4 years delivering NLP and Generative AI solutions.
• Strong expertise in Python, SQL, PyTorch, TensorFlow, Scikit-learn and Hugging Face.
• Experience with Azure OpenAI, Azure AI Foundry, Azure AI Search and Databricks.
• Hands-on expertise with Transformers, embeddings, fine-tuning, RAG and vector databases.
• Experience implementing MLOps and LLMOps best practices.
• Demonstrated leadership of enterprise-scale AI programs.
• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Statistics or related field.

Competencies & Core Characteristics:

We are seeking a leader who embodies the following competencies and characteristics essential for success in our scale-up environment:

• Technical Domain Expertise
• Strategic AI Leader
• Unifier & Cross-Functional Influencer
• Customer-Obsessed Advocate
• Resilient Operator

Preferred Technical Skills Matrix

• Must Have: NLP, LLMs, Generative AI, RAG, Python, Machine Learning, Deep Learning, Azure OpenAI, Vector Databases, Prompt Engineering, LangChain, MLOps/LLMOps
• Good to Have: Knowledge Graphs, Agentic AI, Databricks, Kubernetes, Docker, Multimodal AI, Healthcare Analytics